Title:
MAIZE YIELD PREDICTION METHOD
Document Type and Number:
WIPO Patent Application WO/2022/080410
Kind Code:
A1
Abstract:
Provided is a method for predicting maize yield at an early stage with high accuracy. This maize yield prediction method involves: acquiring analysis data regarding one or more components that are obtained from a leaf sample collected from maize; and predicting maize yield by using a correlation between the data and maize yield.
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Inventors:
MAEDA HARUKA (JP)
FUJIMATSU TERUHISA (JP)
ENDO KEIJI (JP)
FUJIMATSU TERUHISA (JP)
ENDO KEIJI (JP)
Application Number:
PCT/JP2021/037899
Publication Date:
April 21, 2022
Filing Date:
October 13, 2021
Export Citation:
Assignee:
KAO CORP (JP)
International Classes:
G01N27/62
Domestic Patent References:
| WO2011024525A1 | 2011-03-03 |
Foreign References:
| US20150168419A1 | 2015-06-18 |
Other References:
SULLIVAN D. G., SHAW J. N., MASK P. L., RICKMAN D., LUVALL J., WERSINGER J. M.: "Evaluating Corn Nitrogen Variability via Remote-Sensed Data", COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS, vol. 35, no. 17-18, 1 January 2004 (2004-01-01), US , pages 2465 - 2483, XP009535680, ISSN: 0010-3624, DOI: 10.1081/LCSS-200030339
Attorney, Agent or Firm:
THE PATENT CORPORATE BODY ARUGA PATENT OFFICE (JP)
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